rformassspectrometry / QFeatures

Quantitative features for mass spectrometry data
https://RforMassSpectrometry.github.io/QFeatures/
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bioconductor mass-spectrometry metabolomics proteomics rstats

Quantitative features for mass spectrometry data

Project Status: Active – The project has reached a stable, usable state and is being actively developed. R-CMD-check-bioc codecov.io license

<img src="https://raw.githubusercontent.com/rformassspectrometry/stickers/master/QFeatures/QFeatures.png" height="150">

What is QFeatures?

QFeatures is a Bioconductor package that provides infrastructure to management and process quantitative features for high-throughput mass spectrometry assays. It provides a familiar Bioconductor user experience to manage quantitative data across different assay levels (such as precursors, peptide spectrum matches, peptides and proteins or protein groups) in a coherent and tractable format.

If you are familiar with the MSnbase package, QFeatures could be summarised with:

Evolving MSnSet data towards SummarizedExperiment, but for MS data.

Getting started

The QFeatures class is used to manage and process quantitative features for high-throughput mass spectrometry assays. See the QFeatures introduction to get started and the Processing quantitative proteomics data with QFeatures vignette for a real-life application. Visualisation of quantitative mass spectrometry data contained in a QFeatures object is illustrated in the Data visualisation vignette.

License

The QFeatures code is provided under a permissive Artistic 2.0 license. The documentation, including the manual pages and the vignettes, are distributed under a CC BY-SA license.